• DocumentCode
    3164034
  • Title

    Correlation between injected power and voltage deviation at the integrating node of new energy source

  • Author

    Tao, Shun ; Xu, Qun ; Peng, Yong ; Xiao, Xiangning ; Tang, Niang

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    7031
  • Lastpage
    7034
  • Abstract
    In this paper, correlation analysis in probability theory is applied to the relationship study between injected power and voltage quality at the integrating node of new energy source. Based on the study of the simulation model of a wind farm accessed into distribution system, it shows that the voltage deviation of the integrating node is mainly determined by the system background normal operation status, the sizes of loads and output power of new energy source, and there is a very strong correlation between the raising voltage caused by accessing wind farms at the grid node and the power which is supplied by wind farm when the operation background of the system is under the same conditions. From the perspective of the quality constraints on voltage deviation, the method how to choose the integrating node for distributed generation is also discussed in this paper.
  • Keywords
    correlation theory; distributed power generation; load (electric); power grids; power supply quality; probability; wind power; wind power plants; correlation analysis; distributed power generation; distribution system; energy source; injected power quality; integrating node; loads; power grid; probability theory; voltage deviation; wind farm; Correlation; Power quality; Reactive power; Rectifiers; Wind farms; Wind power generation; Correlation; Power quality; active power; voltage deviation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010089
  • Filename
    6010089